Trustworthy PNT — from Signal to State

IPNL builds trustworthy positioning, navigation, and timing systems from receiver-level GNSS signal processing to integrity-aware autonomy. We study the full PNT chain — receiver-level signal processing, urban signal degradation, 3D environmental awareness, factor graph optimization, multi-sensor fusion, and integrity monitoring — so that robots, vehicles, drones, smartphones, and safety-critical systems know not only where they are, but also whether their position can be trusted.

Our lifelong technical mission is robust, low-cost sensor fusion for embodied intelligence — drones, ground vehicles, and the next generation of mobile robots — using a set of local sensors and seamless operation across open-sky, urban canyon, indoor, and GNSS-denied environments.

The IPNL PNT stack

We own the complete signal-to-application chain — from raw GNSS signal processing up to integrity-aware autonomy:

Recognition

• 2022 ION Per Enge Early Achievement Award — single-awardee per year, second-ever Asian-university recipient
• 2024 Most-Cited Paper in NAVIGATION: Journal of the Institute of Navigation — Factor Graph Optimization for GNSS/INS Integration: A Comparison with the Extended Kalman Filter (Wen, Pfeifer, Bai, Hsu)
• General Chair, IPIN 2024 (Indoor Positioning and Indoor Navigation Conference, Hong Kong; 300+ delegates)
• Founding Chair, ION/IAG Working Group on Positioning and Navigation at Asian Urban Canyons (since 2019)
• Associate Editor, NAVIGATION: Journal of the Institute of Navigation (since 2022); IEEE Transactions on Aerospace and Electronic Systems (since 2024)

Publication network

Core paper-linked research network

Recurring coauthor affiliations and research partners visible across DOI-indexed IPNL publications and public project pages.

University of Tokyo University of Calgary CAUC CAUC Shenzhen Polytechnic Wuhan University NCKU NUAA ASTRI Imperial Southeast University Hohai University HIT UCL UC Berkeley SJTU Beihang University HKU HKUST DLR

Each logo links to a representative publication or public project page.

Additional DOI-indexed collaborators

Additional affiliations surfaced from DOI-indexed publication metadata; each links to a representative paper.

Arizona State University 3 records BITS Pilani 3 records Xi Xi'an Railway Survey and Design Institute 3 records Beijing Institute of Technology 2 records Chinese Academy of Sciences 2 records Huawei Technologies 2 records Shandong University 2 records Southern University of Science and Technology 2 records Tianjin University 2 records Tokyo University of Marine Science and Technology 2 records Transport for London 2 records Xi'an Aeronautical University 2 records Beijing Jiaotong University 1 record Be Beijing Satellite Navigation Center 1 record Chang'an University 1 record Chemnitz University of Technology 1 record Curtin University 1 record Giustino Fortunato University 1 record Hiroshima University 1 record Institut für Automation und Kommunikation 1 record McGill University 1 record McMaster University 1 record Na Nanjing University of Science and Technology 1 record National Chengchi University 1 record NYU / NYU Langone Health 1 record Parthenope University of Naples 1 record Peng Cheng Laboratory 1 record Ritsumeikan University 1 record Roma Tre University 1 record Shibaura Institute of Technology 1 record State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing 1 record Tokyo University of Science 1 record University of California, Los Angeles 1 record Un University of Minnesota 1 record University of Science and Technology Beijing 1 record Université Gustave Eiffel 1 record UNSW Sydney 1 record Xi'an Jiaotong University 1 record

Research pillars